Information Fusion and Decision Making for Utility-based Agents
نویسندگان
چکیده
We describe a model of utility-based agents that synthesizes information and determines the best way to make decisions in multi-agent systems. In this model, the beliefs are decomposed into two levels. The higher level represents the possible information about the possible worlds. The lower level subsequently estimates a number function for the belief. We also present a decision theory for this kind of beliefs. The Dempster-Shafer theory is used to describe the beliefs in this decision theory. To describe utilities, we introduce a multi-set valued mapping to represent the relationship between action utilities and state partial ignorance .
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